Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900012362

The MH-36 locality cells most similar to this Pune cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.

Twins found

across 2 distinct districts

Index confidence

0.89

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.201

lower = more alike (weighted)

The twins, closest first

#1 · Punecell 4900012433

distance 0.201

#2 · Punecell 4900012363

distance 0.271

#3 · Punecell 4900012364

distance 0.272

#4 · Punecell 4900012506

distance 0.274

#5 · Punecell 4900012294

distance 0.286

#6 · Punecell 4900012435

distance 0.29

#7 · Punecell 4900012292

distance 0.311

#8 · Punecell 4900012510

distance 0.317

#9 · Punecell 4900010391

distance 0.32

#10 · Punecell 4900012434

distance 0.32

#11 · Punecell 4900012507

distance 0.333

#12 · Punecell 4900012584

distance 0.334

#13 · Thanecell 4970000565

distance 0.338 · cross-district

#14 · Punecell 4900010479

distance 0.34

#15 · Punecell 4900011429

distance 0.349

#16 · Thanecell 4970000777

distance 0.349 · cross-district

#17 · Thanecell 4970001845

distance 0.35 · cross-district

#18 · Punecell 4900007408

distance 0.352

witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.

Re-witness these twins

curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
       "arguments":{"admin_code":490,"cluster_id":4900012362}}}'

Machine-readable JSON twin →Full dossier →

Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.